Mostafa-wael / Analyzing-videos-and-images-using-Cascade-Classifiers

Object Detection using Haar feature-based cascade classifiers is an effective object detection method proposed by Paul Viola and Michael Jones in their paper, "Rapid Object Detection using a Boosted Cascade of Simple Features" in 2001. It is a machine learning based approach where a cascade function is trained from a lot of positive and negative images. It is then used to detect objects in other images.

Analyzing-Video-with-OpenCV-and-NumPy

Object Detection using Haar feature-based cascade classifiers is an effective object detection method proposed by Paul Viola and Michael Jones in their paper, "Rapid Object Detection using a Boosted Cascade of Simple Features" in 2001. It is a machine learning based approach where a cascade function is trained from a lot of positive and negative images. It is then used to detect objects in other images.

For more about this technique, check: https://docs.opencv.org/3.4/db/d28/tutorial_cascade_classifier.html-.

This is a guided project Offered By "Coursera Project Network".

Guided Project Link : https://www.coursera.org/learn/computer-vision-object-detection/home/welcome